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ARCH/Cisarske_otisky_720 (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online map viewer   Google Earth   ArcMap

View Footprint In:   ArcGIS Online map viewer

Service Description: Mapa stabilniho katastru 1840 - povinne cisarske otisky - cache 720 dpi; autor Ondřej Míček

Name: ARCH/Cisarske_otisky_720

Description: Mapa stabilniho katastru 1840 - povinne cisarske otisky - cache 720 dpi; autor Ondřej Míček

Single Fused Map Cache: true

Tile Info: Extent: Initial Extent: Full Extent: Pixel Size X: 0.03787082000000007

Pixel Size Y: 0.03787081999999969

Band Count: 4

Pixel Type: U8

RasterFunction Infos: {"name":"None","description":"A No-Op Function.","help":""}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 750000

Max Scale: 500

Copyright Text:

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 1, 1, 1, 1

Max Values: 255, 255, 255, 255

Mean Values: 185.48918523205717, 176.7922267556687, 150.9954115741683, 152.61115961103184

Standard Deviation Values: 43.36889455526305, 48.18928665566256, 42.06594693538212, 43.84556303662736

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Query   Identify   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics